ACQUISITIONS isprs archives XLI B5 675 2016

2.1 Laser scanning planning

Given the fine geometric details on the artefact and the resolution required, we chose to use a triangulation-based scanning device. Active triangulation scanners generally have multiple lenses sets or camera settings, to cover areas of different sizes with different resolutions. These arearesolution setups are just a finite number and the selection depends on the characteristics of the object, on the sampling resolution needed, and the practical constraints of the working setup. A smaller area covered in each scan means a higher sampling resolution, but also a more fragmented digitization i.e. more acquisitions, which requires more time to be sampled and more alignment work. Conversely, a wider area covered in each scan produce a lower sampling resolution, but the surface coverage is quicker, and the alignment possibly faster. Following these considerations and given the short time available to carry out the digitization, the CNR-ISTI team employed a Konica-Minolta Vivid 910, a triangulation-based laser scanner Fig. 3a and b. Two different lens sets were used: wide covering ca 50x40 cm in each shot for the less detailed and lower area of the Sarcophagus and medium ca 30x20 cm shot coverage for the details and human figures. Even though it was not a very “recent” instrument, it was still the most versatile device in its category and it was able to work at the required resolution. During the planning, possible arising problems were also considered: - attainment of a rigid alignment : range scans obtained with a triangulation scanner are generally aligned only using geometric redundancy of overlapping scans. Since the lower part of the Sarcophagus body is pretty featureless, we feared that a good alignment of scans might not be possible in case of small coverageoverlap. On the contrary, if each scan covers a wider area, this would result in a more stable and rigid alignment since the overlapping regions would have been larger. On the other hand, the human figures have plenty of geometrical features, making the alignment easier and certainly more rigid. - mixing of various resolutions : while the aforementioned choice is sound considering time constraints and registration issues, the mixing of two large chunks of data digitized at a different resolution requires some care, as the alignment between the two parts may be tricky and the final merging may still show a different “roughness” of the 3D surface. However, we evaluated that the ratio between the two resolution sampling densities was below 1:2, therefore a still manageable level. - possible global deformation of the final reconstructed model: if the range scans are very small with respect of the total size of the artwork, the alignment error accumulates among the range scans. This could create some degree of deformation of the reconstructed mesh. Ideally, the larger and fewer the scans are, the more rigid is the final alignment. In a normal situation, to prevent warping and deformations, external rigid references should have been placed and used in the alignment phase, e.g.: using external markers, or having a single scan covering the whole object, taken for example with a terrestrial laser scanner Callieri et al., 2011. In this case, however, time constraints prevented such strategy. 2.2 Photogrammetric planning From a photogrammetric point of view, image acquisition planning encloses camera network design Fraser, 1996 as well as rough predictions on photographic settings to use, such as exposure time, sensitivity settings ISO, aperture value and hence DOF. This permits to select the appropriate lighting power, diffuser, stands etc. A safe distance from the object and the necessary ground sample distance GSD for the image texture spatial resolution ruled the camera network planning. A digital single-lens reflex DSLR Nikon D3X 24 megapixel camera featuring a 6 micron pixel size, coupled with a Nikkor 50 mm f1.8 D lens, was chosen for the acquisition of 14-bit images. Focused at 1 m and using the nominal value of the focal length, the GSD resulted 0.12 mm on the sharp focus plane 1m. The main body of the Sarcophagus, i.e. the couch, was then planned to be acquired with an aerial-like camera network consisting of several strips overlapping some 80 along- and 60 across-track, keeping the camera optical axis orthogonal to a hypothetical average object surface within the field of view. Additionally, rolled and convergent images were planned to strengthen the geometry and help getting more accurate calibration parameters during self-calibration Nocerino et al., 2014. The approach we generally use is similar to the one shown in Alsadik et al. 2013, where a virtual cage of cameras can be thought around the object and then specific camera positions excluded if not satisfying certain criteria. In general, only images outside the convex hull of the asset and its ground encumbrance were considered. For highly curled or recessed parts that stretch in a specific direction, such as the garments and braids, images with strips parallel to that direction were planned in order to see the same part inside the curled area in at least two images. As far as lighting is concerned Fig. 3d and e, a rigorous approach should take into account several factors such as light positions, their size and orientations for each photograph. To avoid casting shadows visible in the images, the source of light should originate exactly from the centre of perspective of the objective lens, i.e. an impossible condition to be realized in practice. Therefore, lights must be positioned symmetrically with respect to the optical axis of the camera. Under this condition the shadows projected by a lamp or strobe can be filled from the other symmetrical source of light. Diffuse light works similarly, being the source of light virtually everywhere around the object. Furthermore cross polarization of the light was used for the acquisition. Cross polarization is a very diffuse technique in the field of optical microscopes where polarized light is used as a contrast-enhancing technique. On the contrary it is not very popular in photogrammetry and related disciplines as it requires a controlled light environment adding also some extra time for a proper tuning of light and filters for each photographs. As advantage it gives images virtually free from specular reflection components leaving thus only the diffuse one. Colours are more saturated pure and lighting more homogeneous all over the photographic subject.

3. ACQUISITIONS

When planning the time needed for data acquisition, temperature acclimatization of the equipment must be considered as it may take some hours for the scale bars, scanners and cameras to reach the ambient temperature. Calibration of triangulation scanners is often a mandatory procedure to be accomplished before the survey starts. Some scanners just have a self-calibration phase or do not require it at all, due to the mechanical stability of their components. The need of camera calibration for photogrammetric measurements Remondino and Fraser, 2006 is today more and more discussed. If a good camera network can be achieved, self- calibration should not differ from calibration on a fixture with targets. Nevertheless it is still broadly accepted as good practice to perform at least one calibration just before andor after the survey to check the camera calibration parameters have not changed significantly. In case of restricted acquisition time, it is better to have real-time feedback to make sure everything is This contribution has been peer-reviewed. doi:10.5194isprsarchives-XLI-B5-675-2016 677 a b c d e f Figure 3. Data acquisition: the adopted triangulation-based laser scanner, a Konica-Minolta Vivid 910 a, b; Gretag Macbeth colour checker c; photogrammetric survey with artificial light and camera mounted on a tripod d,e,f. going smoothly as planned. For laser scanning this may be accomplished by checking and aligning each scan right after they are acquired. With old generation hardwaresoftware, this required one of the surveying personnel to be dedicated to this task, whereas today many scanning software provide real-time feedback on data quality and on-the-fly alignment. From a photogrammetric point of view, a real-time image checking and processing could be achieved working in tethering mode camera connected to a laptop or by removing the memory cards or using in-camera Wi-FiBluetooth capabilities or Wi-Fi memory cards. Once the images are on a laptop, an adjustment procedure can be performed on low-resolution images to check the acquired data. 3.1 Laser scanning acquisition The surface of the artefact was not particularly difficult for the scanner. However, some areas were a bit shinier and some other slightly darker than the rest, requiring a tuning of the scanner parameters. The scanning took 5 hours, producing 66 scans acquired with the wide-area lens and 285 scans acquired with the medium-area lens. The digitization strategy for this kind of artworks is pretty straightforward following standard, common sense, considerations: the scanner is moved around the artefact, trying to keep a somehow constant distance from the subject it depends on the device and lenses used, in this case, around 70- 80cm, a straight view-direction with respect to the surface and enough overlap among the range maps. The reason is twofold: i a sufficient overlap is necessary in the alignment step, as alignment rely on the geometry of the common area between scans; ii enough overlap means that, probably, most of the subject’s surface is digitized from more than one direction and this may reduce the sampling noise when merging the data notwithstanding an increase of the overall sampling density. Since obtaining a direct feedback on the degree of overlap from the digitization software is not always possible, the correct amount of overlap must be evaluated by the operator, at the moment of deciding the next shoot. As a rule of thumb, overlap should never be less than 25, and a good interval is between 30 and 50 for difficult areas. When switching from one lens set to the other, great care was posed in order to have a pretty large overlap between the two areas, to ensure a good alignment between the two datasets. Figures 4a and b show the area covered by the wide and medium lenses. A photographic acquisition was also required for texture mapping purposes and it was carried out in a couple of hours of the next morning. Since the light sources we had could not completely overcome the existing lighting coming from two opposing windows, we decide to exploit it, and just try to make it more uniform. a c b Figure 4. Laser scans acquired with the wide a and medium lenses b. Photogrammetric camera network c: images acquired for the main block are displayed in blue, images acquired for the most difficult parts spouses’ trunks, hands, feet are in red. This contribution has been peer-reviewed. doi:10.5194isprsarchives-XLI-B5-675-2016 678 As the light coming from the windows was already “diffuse” and not “direct” a direct, strong lighting is not suitable for texture mapping, we used the camera-mounted flash directing it towards the ceiling. This bounced light, added to the ambient lighting, produced a quite smooth illumination. All photos were radiometrically calibrated using a Gretag Macbeth colour checker Fig. 3c. 3.2 Photogrammetric acquisition Given the low budget and strict timing at disposal for the project, only a lightweight photographic gear was selected. The whole gear fit in two regular suitcases that two people carried on public transportations. The 3DOM-FBK team was allowed to leave the photogrammetric gear in the Etruscan museum of Villa Giulia the day before the survey, for allowing equipment acclimatization. Before starting the survey some tests were carried out on sample surfaces that were considered more problematic due to their glossy appearance or lack of texture. Polarized filters were mounted on both lamps and camera. Figures 5 shows the effect of an image acquired with and without cross polarization. The improvement provided to image quality by increasing the contrast and removing specular reflection is evident. Artificial lights in the room were switched off and the influence of ambient light was evaluated shooting with and without the photographic lamps switched on. In our case the ambient light contribution was mostly non influential and when it was the case due to sunlight entering the windows it was shaded with a panel. The exposure was measured on a grey card, manually set to 1 sec at f16 ISO 400 and kept almost for the whole acquisition. The computed DOF using a circle of confusion of 3 pixels corresponding to a GSD of about 0.3 mm was some 22 cm. Throughout the survey the distance of 1m from the object was checked both using a measuring tape and the in camera confirmation focus function in the viewfinder. Figure 5. A test image of the hands and a scale bar acquired with left and without right cross polarization. As mentioned, for the lower part of the artefact, an aerial-like camera network was used. After each strip, one operator set up the tripods and lights at the new height while the other one downloaded the images and ran a photogrammetric adjustment on the collected data. The onsite processing and analyses were performed on a Dell Precision M4600 portable workstation. The overall acquired camera network is shown in Figure 4c, where the images belonging to the main block are coloured in blue whereas the images depicting the details and figures are presented in red. In order to scale the photogrammetric results, being a small artefact with no possibility to use ground control points GCP, reference scale bars were adopted. It is generally advisable to use more than a single scale bar or to move it in the measurement volume to have a redundant check. For the Sarcophagus survey, only one lightweight aluminium scale bar, 316.5 mm long, was employed Figure 5. The size was decided to facilitate its transportation and, above all, to move it in an easier and safer way close to the masterpiece. The scale bar was imaged in different positions all around the Sarcophagus, taking care of acquiring it at least once in each image group. The whole survey took approximately 13 hours in two days 8+5 hours ending up with about 520 photographs. A camera calibration was carried out at the end of the survey using printed photogrammetric coded targets.

4. DATA PROCESSING